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Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
PC
SAP Data Management Senior Manager
Pwc Canada
Toronto, ON
- Full-time
Bachelor’s or master’s degree in business, information technology, engineering, information systems, data management, or a related discipline.
Added 1 month ago
I
Photonic Product Validation & Characterization Engineer
Inpho
Ottawa, ON · Kanata, ON
- $100,000 to $150,000 CAD / year
- Full-time
Data Analysis & Pipelines: Utilize Python to build and improve data processing, visualization, and analysis tools that make complex performance data easy to interpret and support efficient…
Added 1 month ago
CF
Security Analyst II
CI Financial
Toronto, ON
- Full-time
Monitor security platforms for appropriate operation, data quality, coverage, performance and control effectiveness.
Added 1 month ago
Machine Learning Engineer
AGCO
Winnipeg, MB
…closely with cross-functional teams to define problems, shape data strategies, and ensure solutions are robust, scalable, and…
Added 1 month ago
CF
Senior Security Specialist
CI Financial
Toronto, ON
- Full-time
Monitor security platforms for appropriate operation, data quality, coverage, performance and control effectiveness.
Added 1 month ago
VA
Avionics & Mechatronics Engineer- Canada
Volatus Aerospace
Vaughan, ON
- Full-time
This is a highly hands-on engineering role focused on flight controllers, avionics integration, sensor systems, power management, diagnostics, and embedded system troubleshooting. The…
Added 1 month ago
T
Enterprise NAS & Object Storage Specialist
TD
Toronto, ON
- Full-time
Identify and address application and data issues and cross-capability and cross-release issues that affect application integrity
Added 1 month ago
Software Application Developer, Generative AI (Gen AI)
BMO
Calgary, AB · GCS
As a Gen AI Software Application Developer at BMO, you will focus on building and integrating Generative AI capabilities into enterprise applications. Working with technology and business…
Added 1 month ago
P
SAP Data Management Senior Manager
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
- Full-time
Bachelor’s or master’s degree in business, information technology, engineering, information systems, data management, or a related discipline.
Added 1 month ago
EE
Senior Software Engineer
Enerva Energy Solutions
Calgary, AB
- $85,000 to $95,000 CAD / year
- Full-time
Data-engineering depth: orchestration tools, time-series data, or large-scale ETL.
Added 1 month ago
Staff DevSecOps Specialist
AlayaCare
Montreal, QC
Strong software engineering ability in Python, Go, or a comparable language, with production systems other teams rely on and the judgment to set the quality bar for them.
Added 1 month ago
P
Automation Engineer - API/Data/SQL
PLATO
Ottawa, ON · Calgary, AB · Sault Ste. Marie, ON · Vancouver, BC · Prince Albert, SK · Regina, SK · Gatineau, QC · BC · Winnipeg, MB · Fredericton, NB · Toronto, ON · Halifax, NS
- $90,000 to $110,000 CAD / year
- Full-time
Design and implement automated validation solutions for APIs, data pipelines, transformations, database reconciliation, and regression testing. Build reusable automation frameworks,…
Added 1 month ago
M(
Senior AI Platform Developer
MaintainX (An Autodesk Company)
Remote, Canada
- $123,000 to $180,000 CAD / year
- Full-time
- Remote
We’re looking for a Senior AI Platform Developer to build the shared systems that enable teams across MaintainX to ship AI-powered products reliably at scale. You will design and operate…
Added 1 month ago
WT
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
5+ years of software engineering, automation, integration, or data engineering experience.
Added 1 month ago
WT
DATA MANAGEMENT ARCHITECT
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
The Data Management Architect is the technical lead behind WBM's growing Data Management Services practice. You'll work with clients to design secure, scalable data solutions using…
Added 1 month ago
Staff Software Developer, Protected Data SRE
Google
Waterloo, ON
As a Staff Site Reliability Developer, you will serve as a technical anchor for the Protected Data SRE team in Waterloo. You will have technical leadership across complex systems,…
Added 1 month ago
E
Senior Software Engineer, Backend, AI Labs
Epiq
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Epiq AI Labs is the innovation and engineering hub behind Epiq's next-generation AI platform for corporate legal departments and global law firms. We operate as a startup within a global…
Added 1 month ago
Ads Threat Intelligence
Google
Waterloo, ON
2 years of experience in security engineering, threat intelligence, trust and safety, or a related abuse-fighting field.
Added 1 month ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
…ONNX, Caffe, etc. preferred), Computer Vision and other Azure Data and AI…
Added 1 month ago
University Co-op Student - Customer Operations Innovation Analyst - 12 months - Winter 2027 -Markham
Hydro One Networks Inc
Markham, ON
Discipline: Business Analytics, Business Administration, Data Analytics, Finance, Information Systems, Commerce, Engineering, Mathematics, Computer Science, or a related field.
Added 1 month ago
Developers & Analysts - Campus Recruitment (University of Toronto)
GFT Technologies SE
Toronto, ON
Currently pursuing or recently completed a degree in Computer Science, Engineering, Information Technology, Data Science, Business Technology or a related field
Added 1 month ago
SI
Principal Firmware Engineer
Synopsys Inc
Ottawa, ON · Nepean, ON
- Full-time
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP,…
Added 1 month ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
Masters or PhDs in a relevant field such as Financial Engineering, Finance, Economics, Statistics, Mathematics, Computer Science and Data Science.
Added 1 month ago
Senior Software Engineer, Backend
Brex
Vancouver, BC
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We…

CI Financial

Senior AI Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Posting language: English
Posted: Sep 21, 2026

Original job description

Senior AI Engineer

At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.

CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and Agentic AI, leveraging existing large language models (LLMs) and platforms - not building models from scratch. As a senior member of the team, you'll take technical ownership of intelligent applications and automation tools that use LLMs to solve business problems, set best practices for the team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to life.

KEY RESPONSIBILITIES:

Applied Generative & Agentic AI:

You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.

Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or Retrieval-Augmented Generation (RAG).
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across use cases.
Building web app AI solutions using frameworks such as React or Streamlit.

Monitoring & Improvement:

Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.
Drive continuous iteration and improvement of models and LLM-powered tools based on performance metrics, cost, and user feedback.

Technical Leadership & Best Practices:

Lead design and code reviews, championing best practices around experimentation, reproducibility, and responsible AI.

QUALIFICATIONS:

Education:

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related field.

Experience:

4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Demonstrated experience designing, building, and shipping agentic AI systems involving multi-step reasoning, task decomposition, and tool use.
Experience designing around real-world infrastructure limitations - such as rate limits, quota management, retries/backoff, and cost-per-call - when architecting LLM-powered systems at scale.

Skills:

Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, including tradeoffs across approaches.
Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, TensorFlow).
Hands-on skills in designing and orchestrating agentic workflows (multi-step reasoning, task decomposition, tool/function calling).
Excellent communication skills; able to present complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.
Experience with cloud-based environments (AWS, Azure, or GCP).

This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs. This opportunity is for an existing vacancy with the company.

CI Financial is an independent company offering global wealth management and asset management advisory services through diverse financial services firms. Since 1965, we have consistently anticipated and responded to the changing needs of investors. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice. Our commitment to the highest levels of performance means that whatever their position, CI employees must be comfortable in a fast-paced environment that will stretch them to tap into their highest potential. Employees with a healthy dose of ambition, a desire to commit to a curious mindset for continuous learning, and a willingness to go the extra mile thrive at CI.

A Supportive Environment for Success

We offer an in-office environment, competitive benefits, and a supportive workplace to help our employees thrive both personally and professionally.

WHAT WE OFFER

Modern HQ location within walking distance from Union Station
Training Reimbursement
Paid Professional Designations
Employee Savings Plan (ESP)
Corporate Discount Program
Enhanced group benefits
Parental Leave Top–up program
Paid time off for Volunteering

We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.

Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at accessible.recruitment@ci.com, or call 416-364-1145 ext. 4747.

Apply About employer

More about this job

Responsibilities

You will architect and build production-grade intelligent systems and agentic AI workflows using existing LLMs to support business operations. Additionally, you will set technical best practices, mentor junior engineers, and drive continuous improvement of AI solutions based on performance metrics.

Requirements

Candidates must have 4-8+ years of experience in AI or data science roles with a proven track record of shipping production-grade systems. A bachelor's or master's degree in a relevant technical field is required, along with proficiency in Python and experience with cloud environments.

Skills

Generative AI
Agentic AI
Large Language Models
Python
Prompt engineering
Retrieval-Augmented Generation
Machine learning
Data science
Cloud computing
AWS
Azure
GCP
React
Streamlit
PyTorch
TensorFlow

Benefits

Modern HQ location
Training reimbursement
Employee savings plan
Corporate discount program
Enhanced group benefits
Parental leave top-up program
Paid time off for volunteering

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Large Language Models
RAG
Prompt Engineering
Python
Machine Learning
Data Science
Cloud Computing
AWS
Azure
GCP
React
Streamlit
Scikit-learn
PyTorch
TensorFlow
Automation
API Integration
Fine-tuning
Multi-step reasoning
Task decomposition
Production-grade
Financial Services
Wealth Management
Asset Management
Data Analytics
Software Engineering
Technical Leadership
Governance

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